Note: The job is a remote job and is open to candidates in USA. Liquid AI's Liquid Labs is an internal research accelerator focused on fundamental breakthroughs in intelligent, personalized, and adaptive machines. The Research Engineer will design and implement novel architectures, training methods, and inference strategies, translating scientific ideas into working systems, publications, and deployed capabilities.
Responsibilities
- You’ll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do
- You’ll operate at the intersection of research and engineering — translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what’s possible
Skills
- Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
- Have experience in machine learning research or production-grade ML systems
- Move fast from paper to prototype — curiosity backed by precision
- Care about efficiency, scalability, and elegant system design as scientific principles
- Value small, deep-technical teams where impact is immediate and measurable
- Have a track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), demonstrating original contribution and research rigor
- While San Francisco and Boston are preferred, we are open to other locations in the United States
Benefits
- Hybrid work arrangement
Company Overview
Company H1B Sponsorship